Top Machine Learning Jobs in Calgary

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with sales, create materials, and conduct market research to drive growth in the gaming and 3D industries.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

As a Senior Solution Engineer, you'll guide customers in understanding AI solutions, conduct technical assessments, deliver demos, and provide strategic advice on digital transformation.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead the development of AI-driven automation for security operations, focusing on integration, scalability, and accuracy of systems to enhance security efficacy.

Lead the technical strategy and execution for computer vision and machine learning systems. Oversee complex problem solving and collaborate on hardware-software co-design. Mentor teams and implement end-to-end machine learning solutions.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

The Senior Account Executive will engage in B2B sales, developing relationships, understanding dealer needs, increasing revenue, and collaborating with stakeholders, while traveling 50-75%.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Machine Learning Architect will design and implement AI/ML solutions using cloud platforms, working closely with customers to meet their business goals.

Develop end-to-end software agents as collaborative AI teammates to empower engineering teams in solving complex challenges.

Develop scalable machine learning models, collaborate with DevOps and Data teams, create proofs of concept, and ensure high-quality software development.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

The role involves developing ML systems for enterprise workflows, focusing on user understanding, task prediction, and optimizing ML pipelines. Key responsibilities include designing scalable evaluation frameworks and collaborating with teams to deliver production-ready solutions.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.